Industrial Automation and Smart Factory Management Training Course

Course overview

Modern factories no longer run on isolated machines and paper travelers. Control systems, production data, and supply signals now flow together, and the managers who understand that flow are the ones who can raise output without adding cost or risk. This course helps operations and engineering leaders make sense of the technologies behind the smart factory, from the programmable logic controllers (PLC) on the line to the analytics dashboards in the plant office, and connect them to decisions about quality, uptime, and cost.

Across seven units you will build a working mental model of how automation, robotics, connectivity, and data layers fit together and how to govern them as one system. The emphasis is on judgment: knowing which technology solves which problem, how the pieces exchange data, where the security and safety exposures sit, and how to sequence an Industry 4.0 investment so it pays back. You leave able to speak credibly with automation engineers, IT and OT teams, and executives, and to lead a factory modernization effort with a clear plan instead of a shopping list.

Why this matters

Automation projects rarely fail on the technology. They fail on integration, data quality, and the gap between the plant floor and the enterprise.

A smart factory works only when its layers agree on how information moves. The ISA-95 / IEC 62264 hierarchy gives that structure a shared vocabulary, defining how the control level, the manufacturing execution systems (MES) level, and business planning relate, so that a work order, a machine state, and a quality result mean the same thing everywhere. On the wire, standards such as OPC UA connectivity let controllers, historians, and analytics tools exchange data without brittle point-to-point drivers, while supervisory control and data acquisition (SCADA) systems and the industrial internet of things (IIoT) extend visibility from a single cell to the whole site. Getting these connections right is what turns scattered sensors into a measurable gain in overall equipment effectiveness (OEE), and it is also what makes technologies like Digital Twin and Smart Manufacturing Technologies genuinely useful.

The same connectivity that creates value also widens the attack surface. Bringing operational technology onto shared networks means treating cybersecurity as a plant concern, not just an IT one, which is why the IEC 62443 family of standards for OT security has become central to how responsible manufacturers segment networks, manage remote access, and protect controllers. Alongside security sit safety and workforce questions: collaborative robots (cobots) change how people and machines share space, and digital twins change how teams test decisions before committing them to physical assets. Managers who understand these forces can weigh benefits against real constraints instead of chasing whatever technology is loudest that year.

What you will be able to do afterwards

By the end of the course, participants will be able to:

• Map PLC, SCADA, and MES roles onto the ISA-95/IEC 62264 hierarchy.
• Evaluate OPC UA and IIoT gateway options for analytics integration.
• Interpret OEE across availability, performance, and quality losses.
• Assess where cobots and robotics fit a process and its safety risks.
• Judge when a digital twin adds value and what data it needs.
• Apply IEC 62443 to segment OT networks and control remote access.
• Build an Industry 4.0 roadmap by payback, risk, and readiness.

Course outline

Unit 1: Fundamentals of industrial automation

• PLC scan cycles, sensors, actuators, and drives.
• SCADA supervision, alarming, and historian data.
• Automation payoff versus manual and semi-automated steps.
• Control architecture within ISA-95/IEC 62264 levels.

Unit 2: Robotics in industrial operations

• Industrial robot types: palletizing to precision assembly.
• Cobots and shared-workspace viability conditions.
• Robot programming: cell layout, end-effectors, cycle timing.
• Risk assessment, guarding, and speed-separation monitoring.

Unit 3: IIoT and connectivity in smart factories

• IIoT architecture: edge sensors, gateways, cloud.
• OPC UA connectivity and modeling for interoperability.
• Network design: time-sensitive traffic and reliability.
• Contextualizing machine data for MES and analytics.

Unit 4: Data analytics and decision-making

• Descriptive, predictive, and prescriptive analytics.
• OEE and loss analysis for improvement priorities.
• Digital twins: optimization and scenario testing.
• Model limits: data quality, drift, weak signals.

Unit 5: Smart factory design and management

• Smart factory frameworks: ISA-95/IEC 62264 hierarchy.
• MES coordination with control and enterprise planning.
• Human-machine collaboration and evolving operator roles.
• Digital workflows, master data, and change control.

Unit 6: Sustainability and risk in smart factories

• Energy monitoring and automation for lower consumption.
• OT cybersecurity: IEC 62443, segmentation, remote access.
• Operational risk: failure points and vendor dependence.
• Environmental, social, and governance reporting data.

Unit 7: Capstone case study and roadmap

• Factory modernization case study and key decisions.
• PLC, SCADA, MES, IIoT, and analytics investment outcomes.
• Industry 4.0 roadmap: payback, risk, and readiness.
• First ninety-day plan for an automation initiative.

How the course is delivered

The course is expert-led and discussion-driven. Sessions move between short explanations of the underlying technology and worked examples drawn from real plants, so concepts like OEE loss analysis or OPC UA data modeling are always tied to something concrete. You will review reference architectures, walk through sample dashboards and MES screens, and analyze real datasets and case studies as a group to see how experienced teams reason about them.

This is a manager and engineer's course in judgment, not a controls programming class. You work through examples and documented scenarios and discuss trade-offs with peers and the instructor, rather than operating live production systems. That keeps the attention on decisions, sequencing, and risk, which is where most automation value is won or lost.

Who should attend

The course suits professionals who lead or support factory modernization and want a clearer command of the technology behind it.

• Operations and manufacturing managers responsible for output, quality, and uptime.
• Automation and industrial engineers moving into broader system and integration roles.
• Industry 4.0 and digital transformation project leaders.
• Plant and production supervisors preparing for connected, data-driven operations.
• Maintenance and reliability leads working with IIoT and analytics.
• IT and OT staff who need a shared view of control, connectivity, and security.

About EuroQuest International Training

EuroQuest International Training, founded in 2015 and headquartered in Bratislava, Slovakia, delivers more than 1000 courses to over 15,000 participants each year, with training hubs including Dubai, London, Barcelona, Istanbul, Vienna, Paris, and Geneva.

Frequently asked questions

Do I need a controls or programming background to benefit?

No. The course explains how PLC, SCADA, and MES systems work at the level a manager or engineering lead needs to make sound decisions. If you already configure controllers you will find useful context on integration and strategy, and if you do not, you will gain the vocabulary to work confidently with the specialists who do.

How much does the course focus on cybersecurity?

Security runs through several units and has dedicated attention in Unit 6. You will look at why connecting operational technology raises risk and how the IEC 62443 standards guide network segmentation, remote access, and equipment protection, so you can factor security into automation decisions instead of treating it as an afterthought.

Will the course help me build an actual improvement plan?

Yes. The final unit uses a documented case study to show how modernization decisions play out, then guides you in drafting a staged Industry 4.0 roadmap and a first-ninety-days plan for your own site, prioritized by payback and risk instead of by which technology is most talked about.

Related courses

These EuroQuest courses build naturally on the topics covered here:

• Automation and Robotics in Manufacturing
• AI Applications in Manufacturing and Industry 4.0
• Predictive Maintenance and IoT in Industry 4.0
• Lean Manufacturing and Process Optimization

Register for this course

If you are ready to lead automation and smart-factory work with a clearer grasp of the technology and the trade-offs, join this EuroQuest course and take the next step toward a more connected, more reliable operation. Reserve your place today and bring the plan back to your own factory.